<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[raidtest的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/raidtest</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; raidtest]]></copyright><item><title><![CDATA[AI dev stack]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/150958835</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/150958835</guid><author>raidtest</author><pubDate>Thu, 28 Aug 2025 18:06:43 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[ridiculous thing in Dune]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/140523441</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/140523441</guid><author>raidtest</author><pubDate>Thu, 18 Jul 2024 14:59:56 +0800</pubDate><description><![CDATA[why the paul's great great grandfather can store the nulcears warhead in the hole in Arrakis? | Fandom]]></description><category></category></item><item><title><![CDATA[paradise and heaven]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/140480833</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/140480833</guid><author>raidtest</author><pubDate>Wed, 17 Jul 2024 01:01:15 +0800</pubDate><description><![CDATA[In a biblical context, paradise and heaven have distinct meanings:So, while both paradise and heaven relate to the afterlife, they serve different purposes. Paradise is like a layover, and heaven is the ultimate destination.]]></description><category></category></item><item><title><![CDATA[Why energy matters？ RGB, Camera.]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/140466542</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/140466542</guid><author>raidtest</author><pubDate>Tue, 16 Jul 2024 14:57:16 +0800</pubDate><description><![CDATA[Absolutely right! The unit of “Radiance” or “radiance pixel values” is indeed expressed in energy terms. Let’s break it down:Radiance:Why Energy Matters:In summary, radiance provides essential information about the energy emitted or reflected by Earth’s su]]></description><category></category></item><item><title><![CDATA[when calibrate the “gain, offset“ of the DN formula to radiance? cycle avoided?]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/140459630</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/140459630</guid><author>raidtest</author><pubDate>Tue, 16 Jul 2024 10:36:43 +0800</pubDate><description><![CDATA[**交叉校准**：使用另一颗已经校准的卫星进行交叉校准，比较两颗卫星在相同时间、相同位置的测量结果。2. **在轨校准**：卫星发射后，通过在轨校准和长期监测，调整和优化增益和偏移参数，确保测量的准确性。1. **初始校准**：在传感器制造和测试阶段，通过实验室测试和地面校准确定初始的增益和偏移参数。- **星上校准设备**：有些卫星上配备了校准设备，如内部的光源、黑体源等，定期校准传感器。- **实验室校准**：在发射前，传感器在实验室中接受详细的校准测试。### 示例：Landsat卫星的校准。]]></description><category></category></item><item><title><![CDATA[NAT punching hole tech]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/139951257</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/139951257</guid><author>raidtest</author><pubDate>Tue, 25 Jun 2024 10:07:50 +0800</pubDate><description><![CDATA[What is NAT Hole Punching?The Problem with NATs:The Hole Punching Process:Terminology:Safety and Consent:]]></description><category></category></item><item><title><![CDATA[a+bi vs a+bj, Mathematics vs. Engineering.]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/139282324</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/139282324</guid><author>raidtest</author><pubDate>Wed, 29 May 2024 07:41:10 +0800</pubDate><description><![CDATA[In Python (and many other programming languages), the use of “j” instead of “i” for representing the imaginary unit in complex numbers is a convention borrowed from electrical engineering and physics. Let me explain why:Historical Context:Electrical Engine]]></description><category></category></item><item><title><![CDATA[【无标题】]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/139011951</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/139011951</guid><author>raidtest</author><pubDate>Fri, 17 May 2024 19:46:25 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[GASF (Gramian Angular Summation Field) and GADF (Gramian Angular Difference Field)]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/138907761</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/138907761</guid><author>raidtest</author><pubDate>Wed, 15 May 2024 14:33:07 +0800</pubDate><description><![CDATA[【代码】GASF (Gramian Angular Summation Field) and GADF (Gramian Angular Difference Field)]]></description><category></category></item><item><title><![CDATA[Debug error for CPU required optimizers]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/138330128</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/138330128</guid><author>raidtest</author><pubDate>Tue, 30 Apr 2024 00:40:29 +0800</pubDate><description><![CDATA[optimizer = tf.keras.optimizers.Adam(learning_rate=0.00051) #, global_clipnorm=1)


this  global_clipnorm = 1 ,will cause this error :tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation ResNet18_one/conv2d_20/]]></description><category></category></item><item><title><![CDATA[Activation layer has 0 parameters, it is ok.]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/138310157</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/138310157</guid><author>raidtest</author><pubDate>Mon, 29 Apr 2024 13:33:48 +0800</pubDate><description><![CDATA[【代码】Activation layer has 0 parameters, it is ok.]]></description><category></category></item><item><title><![CDATA[图像空间（IS），高级特征空间（FS）和两阶段（TS）重采样]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/138157523</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/138157523</guid><author>raidtest</author><pubDate>Wed, 24 Apr 2024 14:07:34 +0800</pubDate><description><![CDATA[这种方法的优点是可以充分利用大量的数据进行训练，同时通过在特征空间中进行欠采样来减少过拟合的风险1。然而，这种方法的缺点是需要更多的计算资源，因为它需要进行两次采样，并且需要训练和微调模型1。高级特征空间（FS）重采样：这种方法在高级特征空间中进行重采样，这些特征通常是通过预训练的卷积神经网络生成的1。然而，这种方法的缺点是需要预训练的模型来生成高级特征，而且可能会丢失一些低级的、细粒度的信息2。这种方法的优点是简单直观，但缺点是可能会产生不真实的图像，特别是当使用如 SMOTE 这样的插值方法时1。]]></description><category></category></item><item><title><![CDATA[tensorflow 2.16.1 can not use save and load]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/137976135</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/137976135</guid><author>raidtest</author><pubDate>Fri, 19 Apr 2024 20:05:20 +0800</pubDate><description><![CDATA[metrics={]]></description><category></category></item><item><title><![CDATA[eigenvalue ,eigenvector , goal of LDA, PCA]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/137581195</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/137581195</guid><author>raidtest</author><pubDate>Wed, 10 Apr 2024 09:16:24 +0800</pubDate><description><![CDATA[PCA : Principal component analysisSpecifically, our combined principal component is the eigenvector corresponding to the largest eigenvalue in the covariance matrix. We can also create additional principal components combining other variables. The second p]]></description><category></category></item><item><title><![CDATA[边缘随机变量]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/137094092</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/137094092</guid><author>raidtest</author><pubDate>Thu, 28 Mar 2024 00:20:03 +0800</pubDate><description><![CDATA[这个概念在处理多个随机变量的问题时非常有用，因为它允许我们只关注我们感兴趣的那些变量，而忽略其他的变量。]]></description><category></category></item><item><title><![CDATA[Ctrl+Tab and Ctrl+Shift+Tab doesn‘t switch editor tabs]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/136895716</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/136895716</guid><author>raidtest</author><pubDate>Thu, 21 Mar 2024 08:51:46 +0800</pubDate><description><![CDATA[WTF。]]></description><category></category></item><item><title><![CDATA[LSTM data preparation]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/136825554</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/136825554</guid><author>raidtest</author><pubDate>Mon, 18 Mar 2024 23:36:43 +0800</pubDate><description><![CDATA[When using LSTM (Long Short-Term Memory) or GRU (Gated Recurrent Unit) for time series prediction tasks such as stock price forecasting, it’s generally not recommended to shuffle the training data.The reason is that these models are designed to learn from ]]></description><category></category></item><item><title><![CDATA[agoda first coding]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/136458514</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/136458514</guid><author>raidtest</author><pubDate>Mon, 04 Mar 2024 17:48:46 +0800</pubDate><description><![CDATA[To implemente in C++. The function should take the following inputs and produce the expected outputs (provide examples if there is). The function should have a time complexity ]]></description><category></category></item><item><title><![CDATA[coding task: array jump back]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/136403338</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/136403338</guid><author>raidtest</author><pubDate>Fri, 01 Mar 2024 22:50:31 +0800</pubDate><description><![CDATA[ExamplesOutput: 3Output: 2code :TBD.]]></description><category></category></item><item><title><![CDATA[a coding task]]></title><link>https://blog.youkuaiyun.com/raidtest/article/details/136403331</link><guid>https://blog.youkuaiyun.com/raidtest/article/details/136403331</guid><author>raidtest</author><pubDate>Fri, 01 Mar 2024 18:16:43 +0800</pubDate><description><![CDATA[if (child!return res;]]></description><category></category></item></channel></rss>